get_S_from_array: Calculate multiple estimates of Social Differentiation...
In urskalbitzer/daginR: Analyses of Monkey Data from Scan and Focal Samples

For details, see 'get_S_from_matrix()'. Difference is that this functions takes an 3d-array, where each slice is an matrix of observed association, e.g. for permuted networks. Can use parallization, which is highly recommended.

get_S_from_array(
  i_j_sum,
  i_j_together_array,
  initial.values = c(0.5, 0.5),
  lower = c(0.01, 0.01),
  upper = c(1, 10),
  use.parallel = FALSE,
  cores = 1
)

`i_j_sum`	Matrix with values i_j_sum[ij] used as denominator of the estimated association index (d in the Whitehead paper)
`i_j_together_array`	Array with matrices with values i_j_together[ij] number of observations of individuals i and j together (x in the Whitehead paper)
`initial.values`	Initial values for the parameters to be optimized over ('par' argument in 'optim“)
`lower`	lower bounds for parameters
`upper`	upper bounds for parameters
`use.parallel`	TRUE/FALSE
`cores`	Number of cores to be used for parallization